Empowering weather and climate forecast
| # | Year | Publication | Download |
|---|---|---|---|
| 1 | 2021 | Chantry, M. et al.: "Machine Learning Emulation of Gravity Wave Drag in Numerical Weather Forecasting". Journal of Advances in Modeling Earth Systems, 13, e2021MS002477. https://doi.org/10.1029/2021MS002477 | Download PDF |
| 2 | 2021 | Sonnewald, et al.: "Bridging observations, theory and numerical simulation of the ocean using machine learning". Environ. Res. Lett. 16 073008 | Download PDF |
| 3 | 2021 | Hatfield, et al.: "Building Tangent-Linear and Adjoint Models for Data Assimilation With Neural Networks". Journal of Advances in Modeling Earth Systems, 13, e2021MS002521 | Download PDF |
| 4 | 2021 | Agarwal et al.: "A Comparison of Data-Driven Approaches to Build Low-Dimensional Ocean Models". Journal of Advances in Modeling Earth Systems, 13, e2021MS002537 | Download PDF |
| 5 | 2021 | Kloewer et al.: "Compressing atmospheric data into its real information content". Accepted in Nature Computational Science | |
| 6 | 2021 | Rausch, Ben-Nun et al.: "A Data-centric Optimization Framework for Machine Learning". | Download PDF |
| 7 | 2022 | Gong B, Langguth M, Ji Y, Mozaffari A, Stadtler S, Mache K, Schultz MG.: "Temperature forecasting by deep learning methods". EGU Geoscientific Model Development | Download PDF |